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Position: Senior Research Fellow in Health Data Analytics
Institution: University of Leeds
Location: Leeds, West Yorkshire, United Kingdom
Duties: You will be based within the Leeds Institute for Data Analytics and work within multi-disciplinary teams both internally and with external research partners at the Universities of Manchester, Oxford and Swansea and the Alan Turing Institute. You will be required to develop and apply novel tools and techniques for analysing longitudinal disease trajectories within large electronic healthcare record data and study real-life complex patterns of health and care across a number of disease areas as part of a funded research project
Requirements: You must have a PhD in statistics, machine learning, data science or a computational science related discipline with strong programming skills and be able to work effectively and efficiently with large and complex datasets
   
Text: HomeLoginRegisterCurrent VacanciesHow to ApplyCriminal recordsWorking at LeedsContact UsFAQsTerms and conditionsTerms of useContact usAccessibilityPrivacyCookiesFreedom of information Cookies This site requires the use of cookies as defined by our Terms and Conditions. We have provided a detailed description of how cookies work and are used on the site. To accept cookies, please click the "Accept Cookies" button. Accept Cookies HomeLoginRegister Current VacanciesHow To ApplyCriminal recordsWorking at LeedsContact UsFAQs View All Vacancies Senior Research Fellow in Health Data Analytics Are you an ambitious researcher looking for your next challenge? Do you have a background in statistical machine learning and health data analytics? Do you want to further your career in one of the UK’s leading research intensive Universities?We are seeking to appoint a Senior Research Fellow in Health Data Analytics to join the Survivorship and Multimorbidity Epidemiology Group led by Dr Marlous Hall. This post is available from November 2021 and offers an exciting opportunity to be part of a growing research team, working in the global priority research area of multimorbidity with the potential to drive significant improvements in health and healthcare.You will be based within the Leeds Institute for Data Analytics and work within multi-disciplinary teams both internally and with external research partners at the Universities of Manchester, Oxford and Swansea and the Alan Turing Institute. You will be required to develop and apply novel tools and techniques for analysing longitudinal disease trajectories within large electronic healthcare record data and study real-life complex patterns of health and care across a number of disease areas as part of a funded research project.You must have a PhD in statistics, machine learning, data science or a computational science related discipline with strong programming skills and be able to work effectively and efficiently with large and complex datasets.To explore the post further or for any queries you may have, please contact: Name: Dr Marlous Hall Email: m.s.hall@leeds.ac.uk Further InformationThe University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The School of Medicine holds a Gold Athena Swan award. We are committed to being an inclusive Medical School that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. Location: Leeds - Main Campus Faculty/Service: Faculty of Medicine & Health School/Institute: Leeds Institute for Data Analytics (LIDA) Category: Research Grade: Grade 8 Salary: £42,149 to £50,296 p.a. Working Time: full-time 1.0fte Post Type: Full Time Contract Type: Fixed Term (until 31 December 2023 - funded by external grant income) Release Date: Friday 24 September 2021 Closing Date: Friday 22 October 2021 Reference: MHLDA1035 Downloads: Candidate Brief Email details to a friend Apply Online Search Jobs Keyword Search: Search Login Please note: Javascript must be enabled to use this website. Email / Username: Password: Login Forgotten Details Register © 2021 University of Leeds | Terms and conditions | Terms of use | Contact us | Accessibility | Privacy | Cookies | Freedom of information
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